DocumentCode
1149456
Title
An Adaptive Detection Algorithm
Author
Kelly, E.J.
Author_Institution
Lincoln Laboratory
Issue
2
fYear
1986
fDate
3/1/1986 12:00:00 AM
Firstpage
115
Lastpage
127
Abstract
A general problem of signal detection in a background of unknown Gaussian noise is addressed, using the techniques of statistical hypothesis testing. Signal presence is sought in one data vector, and another independent set of signal-free data vectors is available which share the unknown covariance matrix of the noise in the former vector. A likelihood ratio decision rule is derived and its performance evaluated in both the noise-only and signal-plus-noise cases.
Keywords
Colored noise; Covariance matrix; Detection algorithms; Detectors; Gaussian noise; Interference; Matched filters; Signal detection; Signal to noise ratio; Testing;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/TAES.1986.310745
Filename
4104190
Link To Document